Tero Aittokallio
PhD
teanai@utu.fi Tykistökatu 6 A Turku ORCID identifier: https://orcid.org/orcid.org/0000-0002-0886-9769 |
Tero Aittokallio received his PhD in Applied Mathematics from the University of Turku in 2001, under the supervision of Prof. Mats Gyllenberg. He then did his post-doctoral training in the Systems Biology Lab at the Institut Pasteur (2006-2007), with Dr. Benno Schwikowski, where he focused on network biology applications using high-throughput experimental assays and network analysis tools such as Cytoscape. In 2007, Dr. Aittokallio launched his independent career as a principal investigator in the Turku Biomathematics Research Group, where he received a five-year appointment as an Academy of Finland Research Fellow (2007-2012). Tero Aittokallio joined Institute for Molecular Medicine Finland (FIMM) as EMBL Group Leader in the fall of 2011, and was selected as Professor of Statistics and Applied Mathematics at University of Turku in 2015.
Aittokallio's research group focuses on developing and applying integrated computational-experimental approaches to tackle biomedical questions, such as how genes function as interaction networks to carry out and regulate cellular processes, how alterations in these networks contribute to complex traits, such as human diseases, and where and how in the disease network one should target to optimally inhibit the disease phenotypes, such as tumor growth.
Computational statistics.
Scientific computing.
- Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression (2017)
- Bioinformatics
(A1 Refereed original research article in a scientific journal) - The inconvenience of data of convenience: computational research beyond post-mortem analyses (2017)
- Nature Methods
(B1 Non-refereed article in a scientific journal) - Whole-genome view of the consequences of a population bottleneck using 2926 genome sequences from Finland and United Kingdom (2017)
- European Journal of Human Genetics
(A1 Refereed original research article in a scientific journal) - Accumulated Metabolites of Hydroxybutyric Acid Serve as Diagnostic and Prognostic Biomarkers of Ovarian High-Grade Serous Carcinomas (2016)
- Cancer Research
(A1 Refereed original research article in a scientific journal) - Cancer stem cell drugs target K-ras signaling in a stemness context (2016)
- Oncogene
(A1 Refereed original research article in a scientific journal) - Characterization of ascites and tumor-derived ovarian cancer stem-like cells (2016)
- Clinical Cancer Research
(Other publication) - Comprehensive drug testing of patient derived conditionally reprogrammed cells from castration -resistant prostate cancer (2016)
- Cancer Research
(Other publication) - Consistency in drug response profiling (2016)
- Nature
(A1 Refereed original research article in a scientific journal) - Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis (2016)
- Nature Communications
(A1 Refereed original research article in a scientific journal) - Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization (2016)
- Bioinformatics
(A1 Refereed original research article in a scientific journal)



